Change Detection of Remote Sensing Images Based on Attention Mechanism Article Swipe
Long Chen
,
Dezheng Zhang
,
Peng Li
,
Peng Lv
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1155/2020/6430627
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1155/2020/6430627
In recent years, image processing methods based on convolutional neural networks (CNNs) have achieved very good results. At the same time, many branch techniques have been proposed to improve accuracy. Aiming at the change detection task of remote sensing images, we propose a new network based on U-Net in this paper. The attention mechanism is cleverly applied in the change detection task, and the data-dependent upsampling (DUpsampling) method is used at the same time, so that the network shows improvement in accuracy, and the calculation amount is greatly reduced. The experimental results show that, in the two-phase images of Yinchuan City, the proposed network has a better antinoise ability and can avoid false detection to a certain extent.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2020/6430627
- https://downloads.hindawi.com/journals/cin/2020/6430627.pdf
- OA Status
- hybrid
- Cited By
- 26
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3081119210
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3081119210Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2020/6430627Digital Object Identifier
- Title
-
Change Detection of Remote Sensing Images Based on Attention MechanismWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-08-25Full publication date if available
- Authors
-
Long Chen, Dezheng Zhang, Peng Li, Peng LvList of authors in order
- Landing page
-
https://doi.org/10.1155/2020/6430627Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/cin/2020/6430627.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/cin/2020/6430627.pdfDirect OA link when available
- Concepts
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Computer science, Upsampling, Artificial intelligence, Convolutional neural network, Change detection, Task (project management), Pattern recognition (psychology), Mechanism (biology), Image (mathematics), Computer vision, Attention network, Philosophy, Management, Epistemology, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
26Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 5, 2023: 7, 2022: 7, 2021: 4Per-year citation counts (last 5 years)
- References (count)
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18Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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